cutreeStaticColor: Constant height tree cut using color labels

In WGCNA: Weighted Correlation Network Analysis

Constant height tree cut using color labels

Description

Cluster detection by a constant height cut of a hierarchical clustering dendrogram.

Usage

cutreeStaticColor(dendro, cutHeight = 0.9, minSize = 50)

Arguments

dendro	a hierarchical clustering dendrogram such as returned by hclust.
cutHeight	height at which branches are to be cut.
minSize	minimum number of object on a branch to be considered a cluster.

Details

This function performs a straightforward constant-height cut as implemented by cutree, then calculates the number of objects on each branch and only keeps branches that have at least minSize objects on them.

Value

A character vector giving color labels of objects, with "grey" meaning unassigned. The largest cluster is conventionally labeled "turquoise", next "blue" etc. Run standardColors() to see the sequence of standard color labels.

Author(s)

Peter Langfelder

See Also

hclust for hierarchical clustering, cutree and cutreeStatic for other constant-height branch cuts, standardColors to see the sequence of color labels that can be assigned.

WGCNA documentation built on Sept. 18, 2024, 5:08 p.m.